phone_offers: #' Positive Emotions List #' #' Positive words. #' #' @format...

In politeness: Detecting Politeness Features in Text

#' Positive Emotions List #' #' Positive words. #' #' @format A list of 2006 positively-valenced words #' "positive_list"

Description

#' Negative Emotions List #' #' Negative words. #' #' @format A list of 4783 negatively-valenced words #' "negative_list"

Usage

phone_offers

Format

A data frame with 355 rows and 2 variables:

message

character of purchase offer message

condition

binary label indicating if message is warm or tough

Details

#' Hedge Words List #' #' Hedges #' #' @format A list of 72 hedging words. #' "hedge_list"

#' Feature Dictionaries #' #' Six dictionary-like features for the detector: Negations; Pauses; Swearing; Pronouns; Formal Titles; and Informal Titles. #' #' @format A list of six quanteda::dictionary objects "polite_dicts" Purchase offers for phone

A dataset containing the purchase offer message and a label indicating if the writer was assigned to be warm (1) or tough (0)

Source

Jeong, M., Minson, J., Yeomans, M. & Gino, F. (2019).

"Communicating Warmth in Distributed Negotiations is Surprisingly Ineffective."

Study 1. https://osf.io/t7sd6/

politeness documentation built on Nov. 12, 2023, 5:06 p.m.